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Advances in Spatial and Temporal Databases

15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21 – 23, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10411)

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Conference proceedings info: SSTD 2017.

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Table of contents (32 papers)

  1. Routing and Trajectories

  2. Big Spatial Data

  3. Indexing and Aggregation

  4. Recommendation

  5. Data Mining

Other volumes

  1. Advances in Spatial and Temporal Databases

Keywords

About this book

This book constitutes the refereed proceedings of the 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, held in Arlington, VA, USA, in August 2017.The 19 full papers presented together with 8 demo papers and 5 vision papers were carefully reviewed and selected from 90 submissions. The papers are organized around the current research on concepts, tools, and techniques related to spatial and temporal databases. 

Editors and Affiliations

  • Institute of Computer Science, Heidelberg University, Heidelberg, Germany

    Michael Gertz

  • George Mason University, Fairfax, USA

    Matthias Renz

  • University of Queensland, Brisbane, Australia

    Xiaofang Zhou

  • ESRI, University of Minnesota, Minneapolis, USA

    Erik Hoel

  • Auburn University, Auburn, USA

    Wei-Shinn Ku

  • Free University of Berlin, Dahlem, Germany

    Agnes Voisard

  • Microsoft, Redmond, USA

    Chengyang Zhang

  • California State University, Sacramento, USA

    Haiquan Chen

  • LinkedIn, Sunnyvale, USA

    Liang Tang

  • University of North Texas, Denton, USA

    Yan Huang

  • Virginia Tech, Falls Church, USA

    Chang-Tien Lu

  • Oracle, Redwood Shores, USA

    Siva Ravada

Bibliographic Information

  • Book Title: Advances in Spatial and Temporal Databases

  • Book Subtitle: 15th International Symposium, SSTD 2017, Arlington, VA, USA, August 21 – 23, 2017, Proceedings

  • Editors: Michael Gertz, Matthias Renz, Xiaofang Zhou, Erik Hoel, Wei-Shinn Ku, Agnes Voisard, Chengyang Zhang, Haiquan Chen, Liang Tang, Yan Huang, Chang-Tien Lu, Siva Ravada

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-64367-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-64366-3Published: 22 July 2017

  • eBook ISBN: 978-3-319-64367-0Published: 07 August 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 454

  • Number of Illustrations: 206 b/w illustrations

  • Topics: Database Management, Artificial Intelligence, Discrete Mathematics in Computer Science, Data Mining and Knowledge Discovery

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